Comments (3)
I've finished the port to OpenNMT-py! With this comes larger models, more training resources, and a script to extract Wiktionary training data. I just released new Chinese models which still struggle on single word translations but are much better than the old models. I'm planning to continue experimenting with lower resource languages and hopefully Japanese and Hindi will be finished soon.
from argos-translate.
Japanese also looks good, a better model and wiktionary data seems to have solved this.
from argos-translate.
Based on this discussion on the OpenNMT forum I think it's less likely that overtraining is the issue. It sounds like if anything 30,000 epochs may be low.
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Related Issues (20)
- "Download failed" Error
- ssl.SSLError: [SSL: TLSV1_UNRECOGNIZED_NAME] tlsv1 unrecognized name (_ssl.c:1091) HOT 5
- punctuation breaks translation quality
- ArgosTransate for python doesn't translate anything from English to French HOT 1
- Argos_translate no longer works offline? HOT 1
- multilingual-rag using argos-translate HOT 1
- The difficulty of generating a proper LLM for translation from web scraping...
- Feature Request: Allow installing without `nvidia-cuda` packages. HOT 3
- Pipe mode, line-by-line (stdin/stdout)
- Support for tamil language
- no pip install
- Does not support Python 3.12 HOT 1
- How to switch usage to GPU instead of CPU? HOT 1
- BUG: pip install argostranslate does not work on Python 3.12 HOT 3
- Problem in Greek Translation
- How to use custom model?
- Stanza version >=1.1.1 breaks a few langauges HOT 2
- Support for Brazilian Portuguese
- [BUG] SIGSEGV
- Title
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